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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dey, Sayak | - |
dc.date.accessioned | 2018-08-03T05:55:06Z | - |
dc.date.available | 2018-08-03T05:55:06Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | 37p. | en_US |
dc.identifier.uri | http://hdl.handle.net/10263/6965 | - |
dc.description | Dissertation under the supervision of Dr. Swagatam Das, ECS Unit | en_US |
dc.language.iso | en | en_US |
dc.publisher | Indian Statistical Institute, Kolkata | en_US |
dc.relation.ispartofseries | Dissertation;18-399 | - |
dc.subject | K-means clustering | en_US |
dc.subject | High-dimensional data clustering | en_US |
dc.subject | Feature selection | en_US |
dc.subject | Sparsity | en_US |
dc.subject | IF-PCA | en_US |
dc.subject | MinMax k-means | en_US |
dc.title | Sparse min-max k-means algorithm for high-dimensional data clustering | en_US |
dc.type | Article | en_US |
Appears in Collections: | Dissertations - M Tech (CS) |
Files in This Item:
File | Description | Size | Format | |
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Diss-399.pdf | 865.03 kB | Adobe PDF | View/Open |
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